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The fast maximum likelihood estimation, one iterative method based on particle filter, is designed to solve the problem of high computation load.
Tracking by association is based on particle filter.
In [23], a problem-specific proposal distribution has been designed for radar tracking based on particle filter.
Based on particle filter algorithm, the conformal geometric algebra method is applied to set particle parameters for the solution of the local occlusion problems caused by hand pose variation, and the tracking stability of the strip glove is improved.
A Bayesian method based on particle filter update has been implemented to estimate the model parameters by taking observed data into account and accurate RUL prediction of the GFRP samples subjected to impact damage has been achieved.
However, because the tracking performance of particle filter is combined in proportion to the number of the corresponding particles in target tracking, the maneuvering target tracking methods based on particle filter are difficult to satisfy the real tracking requirement of tracking systems.
Similar(54)
The method employs the signal strength as input, and has two steps: an initial estimation of the position of the nodes is obtained centrally by one robot and is based on particle filtering.
The tracking step is based on particle filtering.
Some approaches to deal with non-linearities are based on particle filtering principles [3].
The fusion of audio and vision is based on particle filtering.
Very important group of methods for fault detection and isolation is based on particle filtering.
More suggestions(16)
based on vesselness filter
based on particle volume
based on correlation filter
based on particle motion
based on particle momenta
based on particle displacement
based on particle swarm
based on particle packing
based on particle impact
based on particle trajectory
based on window filter
based on particle number
based on particle retention
based on particle mass
based on particle damage
based on particle image
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